A drilling rig derrick multi-parameter fusion safety state online monitoring method and system

Abstract

The present application provides a kind of drilling rig derrick multi-parameter fusion safety state online monitoring method and system, it is related to petroleum drilling equipment, signal acquisition and control technical field, the method is to obtain the online monitoring data of drilling rig derrick sensor;Based on multi-parameter fusion method, the safety state of online monitoring data is calculated, and the risk level is obtained;Based on risk level, early warning response and cloud cooperation are carried out, and online monitoring result is obtained, and the online monitoring of the safety state of drilling rig derrick is completed.The present application solves the problems that the safety state of derrick is difficult to be monitored online in real time and is difficult to be safely controlled in whole life cycle.

Description

TECHNICAL FIELD

[0001] The present specification relates to the technical field of oil drilling rig equipment, signal acquisition and control, in particular to a drilling rig derrick multi-parameter fusion safety state online monitoring method and system. BACKGROUND

[0002] The current safety monitoring of the oil drilling rig derrick mainly relies on artificial periodic detection or offline sampling inspection, which has significant limitations: 1. Detection lag: the traditional method needs to stop drilling for detection, such as using a stress acquisition device to monitor the derrick stress, which takes a long time of 2 hours, affecting the operation progress; 2. Insufficient parameter coverage: existing technologies focus on a single parameter, which cannot capture multi-factor coupling risks (such as resonance caused by superposition of foundation settlement and wind speed); 3. Lack of real-time early warning: offline detection cannot detect transient abnormalities (such as sudden displacement of the crown block). SUMMARY

[0003] In view of the above deficiencies in the prior art, the drilling rig derrick multi-parameter fusion safety state online monitoring method and system provided by the present application solve the problems of difficult real-time online monitoring of derrick safety state and difficult safety control in the whole life cycle.

[0004] In order to achieve the above-mentioned purpose of the application, the technical scheme adopted by the present application is as follows: a drilling rig derrick multi-parameter fusion safety state online monitoring method, comprising:

[0005] S1: obtaining online monitoring data of a drilling rig derrick sensor;

[0006] S2: based on a multi-parameter fusion method, calculating the safety state of the online monitoring data to obtain a risk level;

[0007] S3: based on the risk level, performing early warning response and cloud collaboration to obtain an online monitoring result, and completing online monitoring of the safety state of the drilling rig derrick.

[0008] Further, the S2 comprises:

[0009] based on a multi-parameter fusion method, calculating the safety state of the online monitoring data to obtain a risk coefficient;

[0010] When the risk coefficient is not less than a first threshold value, it is a first-level risk, when the risk coefficient is less than the first threshold value but not less than a second threshold value, it is a second-level risk, and when the risk coefficient is less than the second threshold value, it is a third-level risk, to obtain a corresponding risk level.

[0011] Further, the expression of the risk coefficient is:

[0012] ;

[0013] wherein, represents the risk coefficient, representing mast stress data and hook load data, representing mast amplitude, representing mast frequency, representing crown block vertex displacement, representing mast inclination, representing wellhead centering horizontal deviation, representing foundation settlement, representing wind speed, representing ambient temperature, representing ambient humidity.

[0014] The present application provides a kind of drilling rig mast multi-parameter fusion safety state online monitoring system, comprising:

[0015] Multi-parameter collaborative monitoring subsystem, for obtaining the online monitoring data of drilling rig mast sensor;

[0016] Dual-mode power supply subsystem, for powering multi-parameter collaborative monitoring subsystem;

[0017] Early warning fusion decision subsystem, for calculating the safety state of online monitoring data based on multi-parameter fusion method, to obtain risk level;

[0018] Edge-cloud collaborative analysis subsystem, for early warning response and cloud collaboration based on risk level, to obtain online monitoring result, complete the online monitoring of drilling rig mast safety state.

[0019] Further, the multi-parameter collaborative monitoring subsystem includes: mast, ultrasonic anemometer, machine vision positioning module, laser range finder, temperature and humidity integrated sensor, three-axis acceleration sensor, strain gauge, inclination sensor, settlement radar and field industrial computer and touch screen;Wherein, strain gauge is arranged on the main rod piece wing plate of mast I big section, two-story platform, laser range finder is arranged at the lower center position of crown block base of mast, inclination sensor is arranged at the four corners base of mast, ultrasonic anemometer is arranged on lightning rod platform at the top of mast, machine vision positioning module, temperature and humidity integrated sensor and three-axis acceleration sensor are sequentially arranged from top to bottom at the top of mast, settlement radar is arranged around foundation, field industrial computer and touch screen are arranged on the base of mast, for obtaining the online monitoring data of drilling rig mast sensor.

[0020] Further, the dual-mode power supply subsystem includes: mast power supply and photovoltaic panel;Wherein, mast power supply is connected with ultrasonic anemometer, machine vision positioning module, laser range finder, strain gauge, settlement radar and field industrial computer and touch screen, photovoltaic panel is connected with temperature and humidity integrated sensor, three-axis acceleration sensor and inclination sensor, for powering multi-parameter collaborative monitoring subsystem.

[0021] The beneficial effects of the present application are: the present application provides a drilling rig derrick multi-parameter fusion safety state online monitoring method, based on a multi-parameter fusion method, the safety state of online monitoring data is calculated, the risk level is obtained, the early warning response and cloud cooperation are carried out, and the online monitoring result is obtained. (1) The safety performance is improved: the multi-parameter fusion makes the early warning accuracy rate improve to 98.7% (compared with 82.3% of the single parameter system); (2) The installation and operation cost is reduced: the solar power supply is more convenient for the installation and use of the drilling site, and prolongs the equipment replacement cycle; the edge calculation reduces the cloud flow cost; (3) The decision efficiency is broken through: the field touch screen supports gesture operation, and the mobile terminal APP realizes the real-time monitoring of the state of the derrick nationwide. BRIEF DESCRIPTION OF DRAWINGS

[0022] The present specification will be further illustrated in the form of exemplary embodiments, which will be described in detail with reference to the drawings. These embodiments are not restrictive, and in these embodiments, the same numbers represent the same structures, wherein:

[0023] Figure 1 is a module schematic diagram of a drilling rig derrick multi-parameter fusion safety state online monitoring system according to the embodiment shown in the present specification;

[0024] Figure 2 is an exemplary flow chart of a drilling rig derrick multi-parameter fusion safety state online monitoring method according to the embodiment shown in the present specification;

[0025] Figure 3 is an exemplary schematic diagram of a derrick structure according to the embodiment shown in the present specification;

[0026] Figure 4 is an exemplary schematic diagram of a derrick side structure according to the embodiment shown in the present specification;

[0027] Figure 5 is an exemplary schematic diagram of a middle measuring point according to the embodiment shown in the present specification;

[0028] Wherein: 1, ultrasonic anemometer; 2, machine vision positioning system; 3, laser range finder; 4, temperature and humidity integrated sensor; 5, three-axis acceleration sensor; 6, strain gauge; 7, inclination sensor; 8, field industrial computer and touch screen; 9, settlement radar; 10, middle measuring point of two-layer platform; 11, middle measuring point of I large section. DETAILED DESCRIPTION

[0029] The specific embodiments of the present application are described below to facilitate the understanding of the present application for those skilled in the art, but it should be clear that the present application is not limited to the scope of the specific embodiments, and for those skilled in the art, all the inventions utilizing the concept of the present application are within the scope of the present application as long as various changes are obvious within the spirit and scope of the present application defined and determined by the appended claims.

[0030] Embodiment one

[0031] Figure 1 It is a module schematic diagram of a drilling rig derrick multi-parameter fusion safety state online monitoring system according to the embodiment shown in the specification.

[0032] In the embodiment, the drilling rig derrick multi-parameter fusion safety state online monitoring system can include a multi-parameter cooperative monitoring subsystem, a dual-mode power supply subsystem, a pre-warning fusion decision subsystem and an edge-cloud collaborative analysis subsystem.

[0033] The multi-parameter cooperative monitoring subsystem is used to acquire online monitoring data of drilling rig derrick sensors.

[0034] In the embodiment, as shown in Figure 3 and Figure 4 , the multi-parameter cooperative monitoring subsystem includes a derrick, an ultrasonic anemometer, a machine vision positioning module, a laser range finder, a temperature and humidity integrated sensor, a three-axis acceleration sensor, a strain gauge, an inclination sensor, a settlement radar and a field industrial computer and a touch screen; wherein the strain gauges are arranged on the wing plates of the main rod members of the derrick I section and the second floor, the laser range finder is arranged at the center position of the lower part of the crown block base of the derrick, the inclination sensor is arranged at the four corner bases of the derrick, the ultrasonic anemometer is arranged on the lightning rod platform at the top of the derrick, the machine vision positioning module, the temperature and humidity integrated sensor and the three-axis acceleration sensor are arranged in sequence from top to bottom at the top of the derrick, the settlement radar is arranged around the foundation, and the field industrial computer and the touch screen are arranged on the base of the derrick, used to acquire online monitoring data of drilling rig derrick sensors.

[0035] In the embodiment, as shown in Figure 5 , 32 resistance strain gauges are installed on the wing plates of the main rod members of the derrick I section and the second floor by using tool clamping, 16 groups are symmetrically arranged for each section, and stress monitoring is performed.

[0036] In the embodiment, a laser centering instrument is installed at the lower part of the crown block base, a cross positioning light beam is emitted to the wellhead, and wellhead centering degree monitoring is performed.

[0037] In the embodiment, an ultrasonic anemometer and a temperature and humidity sensor are arranged at the top of the derrick, four settlement radar probes are buried around the foundation, and environmental parameter integration is realized.

[0038] A dual-mode power supply system for powering a multi-parameter collaborative monitoring subsystem.

[0039] In an embodiment, the dual-mode power supply system comprises: a derrick power supply and a photovoltaic panel; wherein the derrick power supply is connected with an ultrasonic anemometer, a machine vision positioning module, a laser range finder, a strain gauge, a settlement radar, and a field industrial computer and a touch screen, and the photovoltaic panel is connected with a temperature and humidity integrated sensor, a three-axis acceleration sensor, and an inclination sensor, for powering the multi-parameter collaborative monitoring subsystem.

[0040] In this way, the problem of long-term power supply of traditional sensors relying on the well site power grid can be solved.

[0041] An early warning fusion decision subsystem is configured to calculate the safety state of online monitoring data based on a multi-parameter fusion method to obtain a risk level.

[0042] An edge-cloud collaborative analysis subsystem is configured to perform early warning response and cloud collaboration based on the risk level to obtain online monitoring results and complete online monitoring of the safety state of the drilling rig derrick.

[0043] In an embodiment, a drilling rig derrick multi-parameter fusion safety state online monitoring system can be used to perform a drilling rig derrick multi-parameter fusion safety state online monitoring method, which comprises: S1: obtaining online monitoring data of a drilling rig derrick sensor; S2: calculating the safety state of the online monitoring data based on a multi-parameter fusion method to obtain a risk level; and S3: performing early warning response and cloud collaboration based on the risk level to obtain online monitoring results and complete online monitoring of the safety state of the drilling rig derrick.

[0044] In an embodiment of the present specification, a processor performs a drilling rig derrick multi-parameter fusion safety state online monitoring method using a drilling rig derrick multi-parameter fusion safety state online monitoring system. In this way, (1) safety performance is improved: multi-parameter fusion improves the early warning accuracy rate to 98.7% (compared to 82.3% of a single parameter system); (2) installation and operation and maintenance costs are reduced: solar power supply is more convenient for installation and use in the drilling site, and prolongs the equipment replacement cycle; edge computing reduces cloud traffic costs; (3) decision-making efficiency is broken through: the field touch screen supports gesture operation, and the mobile terminal APP realizes real-time monitoring of the state of the derrick nationwide.

[0045] Embodiment Two

[0046] Figure 2 is an exemplary flowchart of a drilling rig derrick multi-parameter fusion safety state online monitoring method according to an embodiment of the present specification. As shown in Figure 2 the flow comprises the following steps. In an embodiment, the flow can be performed by a processor.

[0047] S1: Obtain online monitoring data of a rig derrick sensor.

[0048] The online monitoring data is real-time data obtained by the rig derrick sensor. For example, the online monitoring data can include rig stress, vibration, displacement, environment, and other parameter data, which can be specifically referred to Table 1.

[0049] Table 1: Online monitoring data table

[0050]

[0051] S2: Based on a multi-parameter fusion method, the safety state of the online monitoring data is calculated to obtain a risk level.

[0052] The risk level is a level used to reflect the risk degree of the current rig derrick. For example, the risk level can include a first-level risk, a second-level risk, and a third-level risk in descending order of risk degree.

[0053] In an embodiment, the processor can calculate the safety state of the online monitoring data based on a multi-parameter fusion method to obtain a risk coefficient; when the risk coefficient is not less than a first threshold, it is a first-level risk; when the risk coefficient is less than the first threshold but not less than a second threshold, it is a second-level risk; and when the risk coefficient is less than the second threshold, it is a third-level risk, to obtain a corresponding risk level.

[0054] The risk coefficient is a total risk degree coefficient of the various online monitoring data.

[0055] In an embodiment, the expression of the risk coefficient can be:

[0056] ;

[0057] wherein, represents the risk coefficient, represents the rig stress data and the hook load data, represents the rig amplitude, represents the rig frequency, represents the crown block displacement, represents the rig inclination, represents the deviation of the wellhead centering degree, represents the foundation settlement, represents the wind speed, represents the ambient temperature, represents the ambient humidity.

[0058] S3: Based on the risk level, a warning response and cloud cooperation are performed to obtain an online monitoring result, and the online monitoring of the safety state of the rig derrick is completed.

[0059] The online monitoring result is a result of online monitoring based on the risk level. For example, the online monitoring result can include risk level display, original data retention, and sending of an early warning message.

[0060] In an embodiment, the processor can, based on the risk level, perform early warning response and cloud cooperation, display a three-dimensional derrick model on a field touch screen, highlight the risk area in red (for example, the stress value of I section 3# rod is marked in red), automatically store the original data 10 minutes before the anomaly, upload to the cloud, send an early warning message to the administrator's mobile phone, start the audible and visual alarm, and the cloud system receives the data and pushes real-time early warning information through the Web and APP to obtain the online monitoring result, completing the online monitoring of the safety state of the drilling rig derrick.

[0061] By fusing stress, vibration, displacement, inclination, environment, and other multi-parameter parameters to construct a full-dimensional monitoring system, combined with dual-mode power supply and edge-cloud collaborative analysis, real-time safety index evaluation and real-time early warning of derrick deviation and resonance risks can be achieved, effectively avoiding major accidents caused by structural failure; the system provides a technical revolution from passive maintenance to active prevention for the oil industry.

[0062] In an embodiment of the present specification, a drilling rig derrick multi-parameter fusion safety state online monitoring method is provided, which calculates the safety state of online monitoring data based on a multi-parameter fusion method, obtains a risk level, performs early warning response and cloud cooperation, and obtains an online monitoring result. (1) Safety performance improvement: multi-parameter fusion improves the early warning accuracy rate to 98.7% (compared with 82.3% of a single parameter system); (2) Installation and operation cost reduction: solar power supply is more convenient for installation and use in the drilling field, and prolongs the equipment replacement cycle; edge computing reduces cloud traffic costs; (3) Decision-making efficiency breakthrough: the field touch screen supports gesture operation, and the mobile APP realizes real-time monitoring of the state of the derrick nationwide.

Claims

1. A method for online monitoring of the safety status of a drilling rig derrick using multi-parameter fusion, characterized in that, include: S1: Acquire online monitoring data from the drilling rig's derrick sensors; S2: Based on the multi-parameter fusion method, the safety status of online monitoring data is calculated to obtain the risk level; Based on a multi-parameter fusion method, the safety status of online monitoring data is calculated to obtain a risk coefficient; When the risk coefficient is not less than the first threshold, it is classified as Level 1 risk; when the risk coefficient is less than the first threshold but not less than the second threshold, it is classified as Level 2 risk; when the risk coefficient is less than the second threshold, it is classified as Level 3 risk, thus obtaining the corresponding risk level. The expression for the risk coefficient is: ； in, Indicates the risk coefficient. This indicates the derrick stress data and hook load data. Indicates the amplitude of the derrick. Indicates the frequency of the derrick. This indicates the displacement of the overhead crane's apex. Indicates the derrick inclination angle. This indicates a moderate horizontal deviation at the wellhead. Indicates foundation settlement. Indicates wind speed. Indicates ambient temperature. Indicates ambient humidity; S3: Based on the risk level, conduct early warning response and cloud collaboration to obtain online monitoring results and complete online monitoring of the safety status of the drilling rig derrick.

2. A multi-parameter fusion safety status online monitoring system for drilling rig derricks, used to execute the multi-parameter fusion safety status online monitoring method for drilling rig derricks as described in claim 1, characterized in that, include: A multi-parameter collaborative monitoring subsystem is used to acquire online monitoring data from drilling rig derrick sensors; A dual-mode power supply system is used to power a multi-parameter collaborative monitoring subsystem. The early warning fusion decision-making subsystem is used to calculate the security status of online monitoring data based on a multi-parameter fusion method to obtain the risk level; The edge-cloud collaborative analysis subsystem is used to conduct early warning response and cloud collaboration based on risk level, obtain online monitoring results, and complete online monitoring of the safety status of drilling rigs and derricks.

3. The online monitoring system for the multi-parameter fusion safety status of drilling rig derricks according to claim 2, characterized in that, The multi-parameter collaborative monitoring subsystem includes: a derrick, an ultrasonic anemometer, a machine vision positioning module, a laser rangefinder, a temperature and humidity sensor, a triaxial accelerometer, a strain gauge, a tilt sensor, a settlement radar, and a field control computer and touch screen. The strain gauge is mounted on the wing plates of the main struts of the first and second-level platforms of the derrick; the laser rangefinder is positioned at the center of the lower part of the derrick's crane base; the tilt sensor is positioned at the four corner bases of the derrick; the ultrasonic anemometer is positioned on the lightning rod platform at the top of the derrick; the machine vision positioning module, the temperature and humidity sensor, and the triaxial accelerometer are sequentially positioned at the top of the derrick from top to bottom; the settlement radar is positioned around the foundation; and the field control computer and touch screen are located on the base of the derrick, used to acquire online monitoring data from the drilling rig's derrick sensors.

4. The online monitoring system for the multi-parameter fusion safety status of drilling rig derricks according to claim 3, characterized in that, The dual-mode power supply system includes a derrick power supply and a photovoltaic panel. The derrick power supply is connected to an ultrasonic anemometer, a machine vision positioning module, a laser rangefinder, a strain gauge, a settlement radar, a field control computer, and a touch screen. The photovoltaic panel is connected to a temperature and humidity sensor, a triaxial accelerometer, and a tilt sensor to supply power to the multi-parameter collaborative monitoring subsystem.

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